E-grāmata: Medical Optical Imaging and Virtual Microscopy Image Analysis: First International Workshop, MOVI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

Cell counting with inverse distance kernel and self-supervised
learning.- Predicting the visual attention of pathologists evaluating whole
slide images of cancer.- Edge-Based Self-Supervision for Semi-Supervised
Few-Shot Microscopy Image Cell Segmentation.- Joint Denoising and
Super-resolution for Fluorescence Microscopy using Weakly-supervised Deep
Learning.- MxIF Q-score: Biology-informed Quality Assurance for Multiplexed
Immunofluorescence Imaging.- A Pathologist-Informed Workflow for
Classification of Prostate Glands in Histopathology.- Leukocyte
Classification using Multimodal Architecture Enhanced by Knowledge
Distillation.- Deep learning on lossily compressed pathology images: adverse
effects for ImageNet pre-trained models.- Profiling DNA damage in 3D
Histology Samples.- Few-shot segmentation of microscopy images using Gaussian
process.- Adversarial Stain Transfer to Study the Effect of Color Variation
on Cell Instance Segmentation.- Constrained self-supervised method with
temporal ensembling for  fiber bundle detection on anatomic tracing data.-
Sequential multi-task learning for histopathology-based prediction of genetic
mutations with extremely imbalanced labels.- Morph-Net: End-to-End Prediction
of Nuclear Morphological Features from Histology Images.- A Light-weight
Interpretable Model for Nuclei Detection and Weakly-supervised Segmentation.-
A coarse-to-fine segmentation methodology based on deep networks for
automated analysis of Cryptosporidium parasite from fluorescence microscopic
images.- Swin Faster R-CNN for Senescence Detection of Mesenchymal Stem Cells
in Bright-field Images.- Characterizing Continual Learning Scenarios for
Tumor Classification in Histopathology Images.